Junya Ishida
Impact in
- Oncology top 10%
- PARP inhibition in cancer therapy
- Physiology top 10%
- Calcium signaling and nucleotide metabolism
Papers in
- Oncology 8
- PARP inhibition in cancer therapy 8
-
- Glycosylation and Glycoproteins Research 1
- Co-authors
- Hirofumi Yamamoto (8 shared papers)Akinori Iwashita (8 shared papers)Kouji Hattori (8 shared papers)Nobuya Matsuoka (7 shared papers)Kayoko Mihara (6 shared papers)Kazunori Kamijo (4 shared papers)Seitaro Mutoh (4 shared papers)Yoshiyuki Kido (4 shared papers)
- Journals
- Bioorganic & Medicinal Chemistry Letters (4 papers)Journal of Pharmacology and Experimental Therapeutics (3 papers)Tetrahedron Letters (2 papers)Journal of Medicinal Chemistry (1 paper)FEBS Letters (1 paper)
- Partner nations
- JapanUnited States
In The Last Decade
Junya Ishida
15 papers receiving 534 citations
Peers
Comparison fields: 5 of 70
- Oncology 255
- Physiology 42
- Organic Chemistry 196
- Immunology 83
- Molecular Biology 227
Countries citing papers authored by Junya Ishida
This map shows the geographic impact of Junya Ishida's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Junya Ishida with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Junya Ishida more than expected).
Fields of papers citing papers by Junya Ishida
This network shows the impact of papers produced by Junya Ishida. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Junya Ishida. The network helps show where Junya Ishida may publish in the future.
Co-authors
The 25 scholars most cited alongside Junya Ishida, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2004 | 81 | |
| 2 | 2004 | 66 | |
| 3 | 2005 | 65 | |
| 4 | 2005 | 64 | |
| 5 | 1997 | 56 | |
| 6 | 2004 | 55 | |
| 7 | 2004 | 32 | |
| 8 | 2005 | 32 | |
| 9 | 2007 | 28 | |
| 10 | 2020 | 23 | |
| 11 | 2017 | 16 | |
| 12 | 1986 | 11 | |
| 13 | 2014 | 11 | |
| 14 | 2019 | 10 | |
| 15 | 2020 | 1 | |
| 16 | 2025 | 0 |
About Junya Ishida
Junya Ishida is a scholar working on Oncology, Molecular Biology, Immunology, Organic Chemistry and Electrical and Electronic Engineering, having authored 16 papers that have together received 551 indexed citations. Recurring topics across this work include PARP inhibition in cancer therapy (8 papers), Toxin Mechanisms and Immunotoxins (5 papers), Electrostatic Discharge in Electronics (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Calcium signaling and nucleotide metabolism (2 papers), Phytochemicals and Medicinal Plants (2 papers), Probiotics and Fermented Foods (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Oncology (255 citations), Physiology (42 citations), Organic Chemistry (196 citations), Immunology (83 citations) and Molecular Biology (227 citations). Junya Ishida has collaborated with scholars based in Japan and United States. Frequent co-authors include Hirofumi Yamamoto, Akinori Iwashita, Kouji Hattori, Nobuya Matsuoka, Kayoko Mihara, Kazunori Kamijo, Seitaro Mutoh, Yoshiyuki Kido, Naoki Komatsu and Hitomi Suzuki. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Pharmacology and Experimental Therapeutics, Tetrahedron Letters, Journal of Medicinal Chemistry and FEBS Letters.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.